Latest Articles for Tasks

Study reveals how language models forget skills inconsistently across tasks.

A study on how AI tools improve workplace efficiency at Trane Technologies.

Study investigates performance trends of Korean language models over eleven months.

A study investigates crowdworkers' experiences with smartphones, tablets, and more.

This study reveals how crowdworkers prefer different devices for their tasks.

Exploring how learning efficiency impacts decision-making in complex environments.

This study evaluates how LLMs handle SPARQL queries and Knowledge Graphs.

A new method enhances agents' abilities to complete complex digital tasks efficiently.

A method helps robots learn tasks from human examples through sub-goals.

A new method helps robots interact safely with people.

A study examining student challenges and strategies in software modelling tasks.

A new framework improves how surgical robots learn and adapt.

Assessing AI capabilities is essential for safety and effectiveness.

A new benchmark assesses how well AI models mimic human language.

New method generates complete simulations in code from natural language inputs.

A survey on tasks designed for evaluating interactive agents and their capabilities.

Study reveals Microsoft’s Security Copilot boosts IT productivity significantly.

A breakdown of training AI models using methods inspired by child learning.

Research shows attention schemas enhance communication and teamwork among artificial agents.

CurricuLLM helps robots learn complex tasks more effectively through structured training.

A new method helps robots perform tasks more effectively by breaking goals down.

Using language models to create flexible and adaptable robot designs.

Vocal Sandbox allows seamless collaboration between humans and robots through interactive learning.

A new model enhances our study of fruit fly behavior through biomechanics.

A fun way for everyone to help teach robots through crowdsourced data.

Training models with chemistry texts boosts their understanding of the subject.

New architecture enhances speed and accuracy for transformer models in various fields.

DINO-WM helps robots learn and adapt without constant retraining.

A new method helps robots learn actions from videos without a lot of data.

This research reveals how task selection in fMRI affects brain activity insights.

A new approach to improve segmentation in medical imaging.

Robots enhance efficiency through better planning for future tasks.

Robots can now learn tasks with just a few examples.

Researchers test models on understanding action sequences through a new video dataset.

A new method helps computers handle prompts efficiently.

Researchers enhance computers' ability to recognize functional objects in 3D environments.

DOGE simplifies document interaction, making information accessible and understandable.

LAMBDA sets the stage for advanced robot learning in daily tasks.

Exploring how AI assists scientists and its current limitations.

A new tool that allows computers to perform tasks using visual input.